C-GAILILT-BOfficial Google Curriculum
Generative AI Leader
2 daysILTIntroductoryLoading...
Overview
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
What You'll Learn
- Describe how generative AI transforms organizations across business functions and industries
- Define core gen AI concepts (artificial intelligence, gen AI, machine learning, etc.)
- Identify the core layers of the gen AI landscape (applications, agents, platforms, models, and infrastructure)
- Explain how you can combine the components of generative AI agents to build powerful solutions
- Identify Google Cloud products and solutions that support the implementation and scaling of generative AI initiatives
Who Should Attend
Business professionals of all levels and job roles who want to contribute to their company gen AI transformation
Prerequisites
None
Products Covered
GeminiGemini AdvancedGemini in Google WorkspaceGemini in Google CloudGoogle AgentspaceNotebookLMAI ApplicationsGoogle AI StudioVertex AIVertex AI Studio
Course Modules
1
Gen AI: Beyond the chatbot
Topics
- Introduction to gen AI for businesses
- Introduction to gen AI foundations
- Gen AI strategy
Learning Outcomes
- Discover how generative AI transforms organizations across business functions and industries
- Explore how generative AI uses foundation models and prompt engineering to create value
- Identify Google Cloud unique strengths in the field of generative AI
- Explain the Google-Cloud-recommended steps to successfully implement a transformational gen AI solution
Activities
Discussion: What is your why?Discussion: Feeling inspiredTry it: Hands-on with the Gemini appDiscussion: Benefits of Google Cloud when building AI solutionsTry it: Prioritization exerciseActivity: Augmentation or automation?
2
Gen AI: Unlock foundational concepts
Topics
- Core gen AI concepts
- Foundation models
- Responsible AI
Learning Outcomes
- Define core generative AI concepts
- Explain how data types are used in generative AI for business solutions, innovation, and competitive edge
- Explain the role of foundation models in generative AI
- Describe the Google-Cloud-recommended strategies for handling LLM limitations
- Describe the challenges and key factors involved in responsibly and securely developing and deploying AI
Activities
Activity: Supervised, unsupervised, or reinforcement learning?Discussion: Model matchmakerDiscussion: Organizational roadblocks to responsible AI
3
Gen AI: Navigate the landscape
Topics
- The gen AI landscape
- Gen AI agents and applications
- Gen AI platform, model, and infrastructure
- Gen AI project resources and management
Learning Outcomes
- Describe the layers of the gen AI landscape
- Determine strategic entry points within the gen AI landscape to address specific business needs and drive innovation
- Describe the components of the Google Cloud gen AI portfolio
- Explain how Google Cloud AI-optimized resources support gen AI development
- Describe the business factors to consider when deciding what to use for specific applications
Activities
Discussion: Conversational and workflow agentsActivity: The writing assistantActivity: Edge or cloud?Activity: Best solution
4
Gen AI apps: Transform your work
Topics
- Prompting techniques
- Gen AI for productivity
- Gemini for Google Cloud
Learning Outcomes
- Explain prompt engineering techniques and how they drive better results
- Develop automated workflows by using generative AI prompt templates and tools
- Describe the core functionality and business value of using Gemini for Google Workspace
- Describe the core functionality and business value of using Gemini for Google Cloud
Activities
Discussion: Customer serviceTry it: Step into the roleActivity: Pick-a-productDiscussion: Gemini for Google Cloud in your organization
5
Gen AI agents: Transform your organization
Topics
- Today agents
- Building agents
- Enhancing the customer experience with agents
Learning Outcomes
- Define the components of generative AI agents and how they work together
- Explain how you can combine the components of generative AI agents to build powerful solutions
- Describe how you can use Google Cloud gen AI products to create generative AI agents and solutions
- Explain how to effectively lead and manage organizational transformation with gen AI
Activities
Activity: The better prompt techniqueActivity: Agent tooling example – Meeting location planner APIsActivity: Pick-a-product
What's Not Covered
- In-depth technical training for Google Cloud AI/ML products (available in specialized courses)
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- C-GAILILT-B
- Duration
- 2 days
- Format
- ILT
- Level
- Introductory
- Modules
- 5
- Activities
- 20
- Price
- Loading...
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